Genetic algorithms for the application of Activated Sludge Model No. 1

Genetic algorithms for the application of Activated Sludge Model No. 1

0.00 Avg rating0 Votes
Article ID: iaor2004611
Country: United States
Volume: 45
Issue: 4/5
Start Page Number: 405
End Page Number: 411
Publication Date: Jan 2002
Journal: Water Science and Technology
Authors: , , , , ,
Keywords: waste management, genetic algorithms
Abstract:

The genetic algorithm (GA) has been integrated into the IWAASM No. 1 to calibrate important stoichiometric and kinetic parameters. The evolutionary feature of GA was used to configure the multiple focal optima as well as the global optimum. The objective function of optimization was designed to minimize the difference between estimated and measured effluent concentrations at the activated sludge system. Both steady state and dynamic data of the simulation benchmark were used for calibration using dentrification layout. Depending upon the confidence intervals and objective functions, the proposed method provided distributions of parameter space. Field data have been collected and applied to validate calibration capacity of GA. Dynamic calibration was suggested to capture periodic variations of inflow concentrations. Also, in order to verify this proposed method in real wastewater treatment plant, measured data sets for substrate concentrations were obtained from Haeundae wastewater treatment plant and used to estimate parameters in the dynamic system. The simulation results with calibrated parameters matched well with the observed concentrations of effluent COD.

Reviews

Required fields are marked *. Your email address will not be published.